Compressed sensing for magnetic resonance image reconstruction
Expecting the reader to have some basic training in liner algebra and optimization, the book begins with a general discussion on CS techniques and algorithms. It moves on to discussing single channel static MRI, the most common modality in clinical studies. It then takes up multi-channel MRI and the...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2015
|
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
| LEADER | 00000nam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-20-CTM-CR9781316217795 | ||
| 003 | UkCbUP | ||
| 005 | 20160606033317.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 140923s2015||||enk o ||1 0|eng|d | ||
| 020 | |a 9781316217795 | ||
| 100 | 1 | |a Majumdar, Angshul | |
| 245 | 1 | 0 | |a Compressed sensing for magnetic resonance image reconstruction |c Angshul Majumdar |
| 264 | 1 | |a Cambridge |b Cambridge University Press |c 2015 | |
| 300 | |a 1 Online-Ressource (xv, 206 Seiten) | ||
| 336 | |b txt | ||
| 337 | |b c | ||
| 338 | |b cr | ||
| 520 | |a Expecting the reader to have some basic training in liner algebra and optimization, the book begins with a general discussion on CS techniques and algorithms. It moves on to discussing single channel static MRI, the most common modality in clinical studies. It then takes up multi-channel MRI and the interesting challenges consequently thrown up in signal reconstruction. Off-line and on-line techniques in dynamic MRI reconstruction are visited. Towards the end the book broadens the subject by discussing how CS is being applied to other areas of biomedical signal processing like X-ray, CT and EEG acquisition. The emphasis throughout is on qualitative understanding of the subject rather than on quantitative aspects of mathematical forms. The book is intended for MRI engineers interested in the brass tacks of image formation; medical physicists interested in advanced techniques in image reconstruction; and mathematicians or signal processing engineers. | ||
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781107103764 |
| 856 | 4 | 0 | |l TUM01 |p ZDB-20-CTM |q TUM_PDA_CTM |u https://doi.org/10.1017/CBO9781316217795 |3 Volltext |
| 912 | |a ZDB-20-CTM | ||
| 912 | |a ZDB-20-CTM | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-20-CTM-CR9781316217795 |
|---|---|
| _version_ | 1818779681995882496 |
| adam_text | |
| any_adam_object | |
| author | Majumdar, Angshul |
| author_facet | Majumdar, Angshul |
| author_role | |
| author_sort | Majumdar, Angshul |
| author_variant | a m am |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-20-CTM |
| doi_str_mv | 10.1017/CBO9781316217795 |
| format | eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01671nam a2200241 i 4500</leader><controlfield tag="001">ZDB-20-CTM-CR9781316217795</controlfield><controlfield tag="003">UkCbUP</controlfield><controlfield tag="005">20160606033317.0</controlfield><controlfield tag="006">m|||||o||d||||||||</controlfield><controlfield tag="007">cr||||||||||||</controlfield><controlfield tag="008">140923s2015||||enk o ||1 0|eng|d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781316217795</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Majumdar, Angshul</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Compressed sensing for magnetic resonance image reconstruction</subfield><subfield code="c">Angshul Majumdar</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xv, 206 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Expecting the reader to have some basic training in liner algebra and optimization, the book begins with a general discussion on CS techniques and algorithms. It moves on to discussing single channel static MRI, the most common modality in clinical studies. It then takes up multi-channel MRI and the interesting challenges consequently thrown up in signal reconstruction. Off-line and on-line techniques in dynamic MRI reconstruction are visited. Towards the end the book broadens the subject by discussing how CS is being applied to other areas of biomedical signal processing like X-ray, CT and EEG acquisition. The emphasis throughout is on qualitative understanding of the subject rather than on quantitative aspects of mathematical forms. The book is intended for MRI engineers interested in the brass tacks of image formation; medical physicists interested in advanced techniques in image reconstruction; and mathematicians or signal processing engineers.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781107103764</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">TUM01</subfield><subfield code="p">ZDB-20-CTM</subfield><subfield code="q">TUM_PDA_CTM</subfield><subfield code="u">https://doi.org/10.1017/CBO9781316217795</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CTM</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-20-CTM</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-20-CTM-CR9781316217795 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-18T12:04:29Z |
| institution | BVB |
| isbn | 9781316217795 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (xv, 206 Seiten) |
| psigel | ZDB-20-CTM |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Cambridge University Press |
| record_format | marc |
| spelling | Majumdar, Angshul Compressed sensing for magnetic resonance image reconstruction Angshul Majumdar Cambridge Cambridge University Press 2015 1 Online-Ressource (xv, 206 Seiten) txt c cr Expecting the reader to have some basic training in liner algebra and optimization, the book begins with a general discussion on CS techniques and algorithms. It moves on to discussing single channel static MRI, the most common modality in clinical studies. It then takes up multi-channel MRI and the interesting challenges consequently thrown up in signal reconstruction. Off-line and on-line techniques in dynamic MRI reconstruction are visited. Towards the end the book broadens the subject by discussing how CS is being applied to other areas of biomedical signal processing like X-ray, CT and EEG acquisition. The emphasis throughout is on qualitative understanding of the subject rather than on quantitative aspects of mathematical forms. The book is intended for MRI engineers interested in the brass tacks of image formation; medical physicists interested in advanced techniques in image reconstruction; and mathematicians or signal processing engineers. Erscheint auch als Druck-Ausgabe 9781107103764 TUM01 ZDB-20-CTM TUM_PDA_CTM https://doi.org/10.1017/CBO9781316217795 Volltext |
| spellingShingle | Majumdar, Angshul Compressed sensing for magnetic resonance image reconstruction |
| title | Compressed sensing for magnetic resonance image reconstruction |
| title_auth | Compressed sensing for magnetic resonance image reconstruction |
| title_exact_search | Compressed sensing for magnetic resonance image reconstruction |
| title_full | Compressed sensing for magnetic resonance image reconstruction Angshul Majumdar |
| title_fullStr | Compressed sensing for magnetic resonance image reconstruction Angshul Majumdar |
| title_full_unstemmed | Compressed sensing for magnetic resonance image reconstruction Angshul Majumdar |
| title_short | Compressed sensing for magnetic resonance image reconstruction |
| title_sort | compressed sensing for magnetic resonance image reconstruction |
| url | https://doi.org/10.1017/CBO9781316217795 |
| work_keys_str_mv | AT majumdarangshul compressedsensingformagneticresonanceimagereconstruction |